CFP last date
20 December 2024
Reseach Article

Page Relevance based on Page Accessing Frequency

by Nilufar Yasmin, Komal Sachdeva
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 11
Year of Publication: 2012
Authors: Nilufar Yasmin, Komal Sachdeva
10.5120/6953-9451

Nilufar Yasmin, Komal Sachdeva . Page Relevance based on Page Accessing Frequency. International Journal of Computer Applications. 46, 11 ( May 2012), 15-19. DOI=10.5120/6953-9451

@article{ 10.5120/6953-9451,
author = { Nilufar Yasmin, Komal Sachdeva },
title = { Page Relevance based on Page Accessing Frequency },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 11 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number11/6953-9451/ },
doi = { 10.5120/6953-9451 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:28.499168+05:30
%A Nilufar Yasmin
%A Komal Sachdeva
%T Page Relevance based on Page Accessing Frequency
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 11
%P 15-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the tremendous growth of the Internet, many web pages are available online. Search engines use web crawlers to collect these web pages from web for the purpose of storage and indexing. Most of the web pages are autonomous and are updated independently of the users that access the sources . As the web pages are updated autonomously, users are unaware of how often the sources change. An incremental crawler visits the web repeatedly after a specific interval for updating its collection. Users can be benefitted by knowing the page importance based upon the page accessing frequency. In this paper the page relevancy is finding out by a novel mechanism and a novel architecture is being proposed

References
  1. Sakshi Goel, Anjana, Akhil Kaushik, Kirtika Goel, "A Novel Approach for Page Rank in Incremental Crawler", IJCST Vol. 3, Issue 1, Jan. - March 2012.
  2. Niraj Singhal, Ashutosh Dixit, Dr. A. K. Sharma, "Design of a Priority Based Frequency Regulated Incremental Crawler", 2010 International Journal of Computer Applications (0975 – 8887) Volume 1 – No. 1.
  3. Arvind Kumar, Km. Pooja, "An effective method for ranking of changed web pages in incremental crawler", International Journal of Computer Applications (0975 – 8887) Volume 8– No. 7, October 2010.
  4. Rosy Madaan, Ashutosh Dixit, A. K. Sharma, Komal Kumar Bhatia, "A Framework for Incremental Hidden Web Crawler", International Journal of Computer Science and Engineering (IJCSNE), Vol. 02, No. 03, 2010.
  5. Ravita Chahar, Komal Hooda, Annu Dhankhar, "Management Of Volatile Information In Incremental Web Crawler", IJCSI International Journal of Computer Science Issues, Vol. 4, No. 1, 2009(ISSN (Online): 1694-0784, ISSN (Print): 1694-0814).
  6. Ashutosh Dixit, Harish Kumar and A. K Sharma, "Self Adjusting Refresh Time Based Architecture For Incremental Web Crawler", International Journal of Computer Science and Network Security (IJCSNS), Vol 8, No12, Dec 2008.
  7. M. P. S. Bhatia, Divya Gupta, "Discussion on Web Crawlers of Search Engine". Proceedings of 2nd National Conference on Challenges & Opportunities in Information Technology (COIT-2008) RIMT-IET, Mandi Gobindgarh. March 29, 2008.
  8. Cho, J. and Roy, "Impact of search engines on page popularity". In Proc. 13th International World Wide Web Conference, 2004.
  9. Arasu, J. Cho, H. Garcia-Molina, A. Paepcke, S. Raghavan, "Searching the Web", ACM Transactions on Internet Technology, Vol. 1, Num. 1, August 2001, pp. 2-43.
  10. Mark Najork, Allan Heydon, "High- Performance Web Crawling", September 2001.
  11. B. Mobasher, H. Dai, T. Luo, and M. Nakagawa. Effective personalization based on association rule discovery from web usage data. In Proceedings of the 3rd ACM Workhop on Web Information and Data Management, pages 9–15, November 2001. Atlanta, USA.
  12. Arvind Arasu, Junghoo Cho, Hector Garcia-Molina, Andreas Paepcke, and Sriram Raghavan, "Searching the Web", ACM Transactions on Internet Technology (TOIT), 1(1):2–43, August 2001.
  13. Junghoo Cho and Hector Garcia-Molina, "Estimating frequency of change", 2000, Submitted to VLDB 2000, Research track.
  14. Junghoo Cho and Hector Garcia-Molina. 2000a. "The evolution of the web and implications for an incremental crawler". , In Proceedings of the 26th International Conference on Very Large Databases.
  15. Brian E. Brewington and George Cybenko. "How dynamic is the web. " In Proceedings of the Ninth International World-Wide Web Conference, Amsterdam, Netherlands, May 2000.
  16. Henzinger M. R. Link analysis in web information retrieval. IEEE Data Engineering Bulletin, 23(3):3-8, September 2000.
  17. Jenny Edwards, Kevin McCurley, John Tomlin, "An Adaptive Model for Optimizing Performance of an Incremental Web Crawler".
  18. Brin, Sergey and Page Lawrence, "The anatomy of a large-scale hypertextual Web search engine". Computer Networks and ISDN Systems, April 1998.
  19. Mike, Burner, "Crawling towards Eternity : Building an archive of the World Wide Web", Web Techniques Magazine, 2(5), May 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Search Engine Web Crawler Page Access Frequency Rank Updater.